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Metal-Doped Brushite Cement for Bone Regeneration

Journal of Bionic Engineering 2023年第6期20卷 2716-2731页

作者： Muhammad Aqib Aneela Anwar Humayun Ajaz Samina Akbar Ahsan Manzoor Maham Abid Zohaib waheed Qudsia Kanwal Department of Chemistry University of Engineering and TechnologyGT RoadLahore54890Pakistan Department of Chemistry University of LahoreLahore5400Pakistan

For the past several years,calcium phosphate cement was used in the biomedical *** biocompatibility,good bioactivity,self-setting qualities,minimum setting degree,appropriate toughness,and simple shape to accommodate any difficult geometry are among their most notable *** phosphate has some types and brushite is one of the most attractive mineral for bone repair *** is extensively employed in filling fractures and trauma treatments as a bone substituted *** kind of material can potentially be used as a medicine delivery *** replacement of metal,such as magnesium,zinc,and strontium ions,into the calcium phosphate structure is a major research topic these *** cement has low mechanical strength and quick setting *** is possible to produce biomaterials with higher mechanical *** adding metal that are great potential in controlling cellular density when included into *** a result,it is a successful method to develop quite well regenerative *** paper provides a detailed summary of the present achievements of metal-doped brushite cement for bone repair and healing *** major purpose of this work is to give a simple but thorough analysis of current successes in brushite cement doped with Zn,Mg,Sr,and other ions as well as to highlight new advancements and *** impact of metal replacement on cement physical and chemical properties,including microstructure,setting time,injectability,mechanical property,and ion release,is *** metal-doped cement has osteogenesis,angiogenesis,and antibacterial properties,as well as their prospective utility as drug carriers,also considered.

关键词： Calcium phosphate Brushite Bone cement Metal dopants Bone regeneration

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Machine Learning-based Stable P2P IPTV Overlay

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Computers, Materials & Continua 2022年第6期71卷 5381-5397页

作者： Muhammad Javid Iqbal Ihsan Ullah Muhammad Ali Atiq Ahmed waheed Noor Abdul Basit Directorate of Information Technology Sardar Bahadur Khan Women’s UniversityQuettaPakistan Department of Computer Science and Information Technology University of BalochistanQuettaPakistan

Live video streaming is one of the newly emerged services over the Internet that has attracted immense interest of the service *** Internet was not designed for such services during its inception,such a service poses some serious challenges including cost and ***-to-Peer(P2P)Internet Protocol Television(IPTV)is an application-level distributed paradigm to offer live video *** terms of ease of deployment,it has emerged as a serious alternative to client server,Content Delivery Network(CDN)and IP multicast ***,P2P approach has struggled to provide the desired streaming quality due to a number of *** of peers in a network is one of themajor issues among *** of the existing approaches address this issue through older-stable *** paper first extensively investigates the older-stable principle to observe its validity in different *** is observed that the older-stable principle does not hold in several of ***,it utilizes machine learning approach to predict the stability of *** work evaluates the accuracy of severalmachine learning algorithms over the prediction of stability,where the Gradient Boosting Regressor(GBR)out-performs other ***,this work presents a proof-of-concept simulation to compare the effectiveness of older-stable rule and machine learning-based predictions for the stabilization of the *** results indicate that machine learning-based stability estimation significantly improves the system.

关键词： P2P IPTV live video streaming user behavior overlay networks stable peers machine learning

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Protected Fair Secret Sharing Based Bivariate Asymmetric Polynomials in Satellite Network

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Computers, Materials & Continua 2022年第9期72卷 4789-4802页

作者： Yanyan Han Jiangping Yu Guangyu Hu Chenglei Pan Dingbang Xie Chao Guo Abdul waheed Department of Electronics and Communication Engineering Beijing Electronics Science and Technology InstituteBeijing100070China State Key Laboratory of Integrated Services Networks Xidian UniversityXi’an710126China Department of Cryptography and Technology Beijing Electronics Science and Technology InstituteBeijing100070China Department of Cyberspace Security Beijing Electronic Science and Technology InstituteBeijing100070China School of Communication Engineering Xidian UniversityXi’an710126China Institute of Information Engineering Chinese Academy of SciencesBeijing100093China University of Management Technology Lahore-Pakistan55300Pakistan

Verifiable secret sharing mainly solves the cheating behavior between malicious participants and the ground control center in the satellite *** verification stage can verify the effectiveness of secret shares issued by the ground control center to each participant and verify the effectiveness of secret shares shown by *** use a lot of difficult assumptions based on mathematical problems in the verification stage,such as solving the difficult problem of the discrete logarithm,large integer prime factorization,and so *** with other verifiable secret sharing schemes designed for difficult problems under the same security,the verifiable secret sharing scheme based on the Elliptic Curve Cryptography(ECC)system has the advantages of less computational overhead and shorter *** present,the binary polynomial is a single secret scheme and cannot provide effective ***,based on a Protected Verifiable Synchronous Multi Secret Sharing(PVS-MSS)scheme,this paper is designed based on bivariate asymmetric *** advanced verifiable attribute is introduced into the Protected Secret Sharing(PSS)*** paper extends the protected synchronous multi-secret sharing scheme based on bivariate polynomial *** ECC system constructs the security channel between the ground control center and participants and constructs the verification *** the verification algorithm,any participant can verify the consistency and effectiveness of the secret shadow and secret share received from other participants or presented by the secret distribution ***,no additional key agreement protocol is required;participants do not need to negotiate the session key for encryption;the secret share polynomial can generate the session key between participants and speed up the secret reconstruction *** verification stage has lower computational complexity than the verifiable scheme constructed by Rivest Shamir Adleman (RS

关键词： Multi-secret sharing binary asymmetric verifiable synchronization protected satellite network

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Metabolomics in drug discovery: Restoring antibiotic pipeline

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亚太热带生物医学杂志:英文版 2023年第9期13卷 378-383页

作者： Faiza Azhar Mariam Busharat Shah Rukh Arshad Chaudhary Zainab waheed Muhammad Nauman Jamil Department of Pharmaceutical Chemistry Punjab University College of PharmacyUniversity of the PunjabLahorePakistan School of Medical Indigenous and Health SciencesUniversity of WollongongNew South WalesAustralia Department of General Surgery Lahore General HospitalLahorePakistan Department of Pharmaceutical Chemistry Hamza College of PharmacyLahorePakistan

Metabolomics has emerged as a valuable tool in drug discovery and development,providing new insights into the mechanisms of action and toxicity of potential therapeutic *** focuses on the comprehensive analysis of primary as well as secondary metabolites,within biological *** provides a comprehensive understanding of the metabolic changes that occur within microbial pathogens when exposed to therapeutic agents,thus allowing for the identification of unique metabolic targets that can be exploited for therapeutic *** approach can also uncover key metabolic pathways essential for survival,which can serve as potential targets for novel *** analyzing the metabolites produced by diverse microbial communities,metabolomics can guide the discovery of previously unexplored sources of *** review explores some examples that enable medicinal chemists to optimize drug structure,enhancing efficacy and minimizing toxicity via metabolomic approaches.

关键词： Metabolomics Infectious diseases Drug discovery Antibiotics Biomarkers

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Some Topological Values of Supramolecular Chain of Different Complexes of N-Salicylidene-L-Valine

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1899-1916页

作者： Yonghong Liu Muhammad waheed Umair Saleem Muhammad Kamran Jamil Muhammad Naveed Mohammad Reza Farahani School of Computer Science Chengdu UniversityChengduChina Punjab School Education Department Govt Higher Secondary School Nangal Sahdan MuridkeSheikhupuraPakistan Muslim Model Girls Higher Secondary School Zafarwal NarowalPakistan Department of Mathematics Riphah International UniversityLahorePakistan School of Packaging Michigan State UniversityEast LansingUSA Department of Mathematics Iran University of Science and Technology(IUST)NarmakTehranIran

L-valine is a glycogen-type amino acid regarded among the necessary mammalian amino *** is an amino acid that is essential for protein synthesis.N-salicylidene-L-valine is gaining a lot of attention because of its unique structure and increased catalytic and cytotoxic *** explore the chain of supramolecular dialkyltin N-salicylidene-L-valine complexes 2,3,and 4 to learn more about this structure and its features regarding topological *** computed the first and second Randi′c index,harmonic index,sum-connectivity index,atom-bond-connectivity index,geometric arithmetic index and reduced reciprocal Randi′c index of Supramolecular Chain of Different Complexes of ***,we present an analysis of such structures using specific examples,as well as a comparison of topological indices.

关键词： Molecular compounds supramolecular chains topological indices

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Exploiting Human Pose and Scene Information for Interaction Detection

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Computers, Materials & Continua 2023年第3期74卷 5853-5870页

作者： Manahil waheed Samia Allaoua Chelloug Mohammad Shorfuzzaman Abdulmajeed Alsufyani Ahmad Jalal Khaled Alnowaiser Jeongmin Park Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Engineering College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Engineering Korea Polytechnic UniversitySiheung-siGyeonggi-do237Korea

Identifying human actions and interactions finds its use in manyareas, such as security, surveillance, assisted living, patient monitoring, rehabilitation,sports, and e-learning. This wide range of applications has attractedmany researchers to this field. Inspired by the existing recognition systems,this paper proposes a new and efficient human-object interaction recognition(HOIR) model which is based on modeling human pose and scene featureinformation. There are different aspects involved in an interaction, includingthe humans, the objects, the various body parts of the human, and the backgroundscene. Themain objectives of this research include critically examiningthe importance of all these elements in determining the interaction, estimatinghuman pose through image foresting transform (IFT), and detecting the performedinteractions based on an optimizedmulti-feature vector. The proposedmethodology has six main phases. The first phase involves preprocessing theimages. During preprocessing stages, the videos are converted into imageframes. Then their contrast is adjusted, and noise is removed. In the secondphase, the human-object pair is detected and extracted from each image *** third phase involves the identification of key body parts of the detectedhumans using IFT. The fourth phase relates to three different kinds of featureextraction techniques. Then these features are combined and optimized duringthe fifth phase. The optimized vector is used to classify the interactions in thelast phase. TheMSRDaily Activity 3D dataset has been used to test this modeland to prove its efficiency. The proposed system obtains an average accuracyof 91.7% on this dataset.

关键词： Artificial intelligence daily activities human interactions human pose information image foresting transform scene feature information

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A Progressive Approach to Generic Object Detection: A Two-Stage Framework for Image Recognition

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Computers, Materials & Continua 2023年第6期75卷 6351-6373页

作者： Muhammad Aamir Ziaur Rahman waheed Ahmed Abro Uzair Aslam Bhatti Zaheer Ahmed Dayo Muhammad Ishfaq College of Computer Science Huanggang Normal UniversityHuanggangHubei438000China FAST School of Computing National University of Computer&Emerging Science(NUCES)Karachi CampusKarachi75030Pakistan School of Information and Communication Engineering Hainan UniversityHaikou68000China

Object detection in images has been identified as a critical area of research in computer vision image *** has developed several novel methods for determining an object’s location and category from an ***,there is still room for improvement in terms of detection *** study aims to develop a technique for detecting objects in *** enhance overall detection performance,we considered object detection a two-fold problem,including localization and *** proposed method generates class-independent,high-quality,and precise proposals using an agglomerative clustering *** then combine these proposals with the relevant input image to train our network on convolutional ***,a network refinement module decreases the quantity of generated proposals to produce fewer high-quality candidate ***,revised candidate proposals are sent into the network’s detection process to determine the object *** algorithm’s performance is evaluated using publicly available the PASCAL Visual Object Classes Challenge 2007(VOC2007),VOC2012,and Microsoft Common Objects in Context(MS-COCO)*** only 100 proposals per image at intersection over union((IoU)=0.5 and 0.7),the proposed method attains Detection Recall(DR)rates of(93.17%and 79.35%)and(69.4%and 58.35%),and Mean Average Best Overlap(MABO)values of(79.25%and 62.65%),for the VOC2007 and MS-COCO datasets,***,it achieves a Mean Average Precision(mAP)of(84.7%and 81.5%)on both VOC *** experiment findings reveal that our method exceeds previous approaches in terms of overall detection performance,proving its effectiveness.

关键词： Deep neural network deep learning features agglomerative clustering localizations refinement region of interest(ROI) object detection

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Painlevé integrability and a collection of new wave structures related to an important model in shallow water waves

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理论物理通讯:英文版 2023年第7期75卷 70-80页

作者： Isma Ghulam Murtaza Nauman Raza Saima arshed Department of Mathematics University of the PunjabLahore 54590Pakistan

This paper investigates the perturbed Boussinesq equation that emerges in shallow water *** perturbed Boussinesq equation describes the properties of longitudinal waves in bars,long water waves,plasma waves,quantum mechanics,acoustic waves,nonlinear optics,and other *** a result,the governing model has significant importance in its own *** singular manifold method and the unified methods are employed in the proposed model for extracting hyperbolic,trigonometric,and rational function *** solutions may be useful in determining the underlying context of the physical *** is worth noting that the executed methods are skilled and effective for examining nonlinear evaluation equations,compatible with computer algebra,and provide a wide range of wave *** addition to this,the Painlevétest is also used to check the integrability of the governing ***-dimensional and threedimensional plots are made to illustrate the physical behavior of the newly obtained exact *** makes the study of exact solutions to other nonlinear evaluation equations using the singular manifold method and unified technique prospective and deserving of further study.

关键词： soliton shallow water waves singular manifold method Painleve test

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Improved Hybrid Deep Collaborative Filtering Approach for True Recommendations

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Computers, Materials & Continua 2023年第3期74卷 5301-5317页

作者： Muhammad Ibrahim Imran Sarwar Bajwa Nadeem Sarwar Haroon Abdul waheed Muhammad Zulkifl Hasan Muhammad Zunnurain Hussain Department of Computer Science The Islamia University of BahawalpurBahawalpurPakistan Department of Computer Science Bahria University Lahore CampusLahorePakistan Software Engineering Department Faculty of ITUniversity of Central PunjabLahorePakistan Faculty of Computer Science and Information Technology Universiti Putra MalaysiaSelangorMalaysia

Recommendation services become an essential and hot research topic for researchers *** data such asReviews play an important role in the recommendation of the *** was achieved by deep learning approaches for capturing user and product information from a short ***,such previously used approaches do not fairly and efficiently incorporate users’preferences and product *** proposed novel Hybrid Deep Collaborative Filtering(HDCF)model combines deep learning capabilities and deep interaction modeling with high performance for True *** overcome the cold start problem,the new overall rating is generated by aggregating the Deep Multivariate Rating DMR(Votes,Likes,Stars,and Sentiment scores of reviews)from different external data sources because different sites have different rating scores about the same product that make confusion for the user to make a decision,either product is truly popular or *** proposed novel HDCF model consists of four major modules such as User Product Attention,Deep Collaborative Filtering,Neural Sentiment Classifier,and Deep Multivariate Rating(UPA-DCF+NSC+DMR)to solve the addressed *** results demonstrate that our novel model is outperforming state-of-the-art IMDb,Yelp2013,and Yelp2014 datasets for the true top-n recommendation of products using HDCF to increase the accuracy,confidence,and trust of recommendation services.

关键词： Neural sentiment classification user product attention deep collaborative filtering multivariate rating artificial intelligence

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Sentiment Analysis of Roman Urdu on E-Commerce Reviews Using Machine Learning

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Computer Modeling in Engineering & Sciences 2022年第6期131卷 1263-1287页

作者： Bilal Chandio Asadullah Shaikh Maheen Bakhtyar Mesfer Alrizq Junaid Baber Adel Sulaiman Adel Rajab waheed Noor Department of Computer Science and Information Technology University of BalochistanQuetta87300Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia Department of Information Technology University of BalochistanQuetta87300Pakistan

Sentiment analysis task has widely been studied for various languages such as English and ***,Roman Urdu sentiment analysis yet requires more attention from peer-researchers due to the lack of Off-the-Shelf Natural Language Processing(NLP)*** primary objective of this study is to investigate the diverse machine learning methods for the sentiment analysis of Roman Urdu data which is very informal in nature and needs to be lexically *** mitigate this challenge,we propose a fine-tuned Support Vector Machine(SVM)powered by Roman Urdu *** our proposed scheme,the corpus data is initially cleaned to remove the anomalies from the *** initial pre-processing,each user review is being *** input text is transformed into a feature vector using the bag-of-word ***,the SVM is used to classify and detect user *** proposed scheme is based on a dictionary based Roman Urdu *** creation of the Roman Urdu stemmer is aimed at standardizing the text so as to minimize the level of *** efficacy of our proposed model is also empirically evaluated with diverse experimental configurations,so as to fine-tune the hyper-parameters and achieve superior ***,a series of experiments are conducted on diverse machine learning and deep learning models to compare the performance with our proposed *** also introduced the largest dataset on Roman Urdu,i.e.,Roman Urdu e-commerce dataset(RUECD),which contains 26K+user reviews annotated by the group of *** RUECD is challenging and the largest dataset available of Roman *** experiments show that the newly generated dataset is quite challenging and requires more attention from the peer researchers for Roman Urdu sentiment analysis.

关键词： Sentiment analysis Roman Urdu machine learning SVM

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